Optimizing well yield with cloud analytics

A US-based exploration and production company aimed to turn growing volumes of upstream data into a reliable foundation for decision-making. With data spread across multiple systems, including SCADA, drilling, fracking, and geological systems, the goal was to:

• Create a single, unified view of upstream operations
• Enable faster access to consistent, reliable data
• Improve the ability to generate timely, actionable insights.

This initiative was driven by the need to improve operational efficiency, support better investment decisions, and respond faster to changing market conditions.

The company operated across multiple systems generating high-volume data with varying formats, structures, and frequencies. While data was available, organizing and correlating it across sources remained difficult. This led to:

• Heavy reliance on manual data handling and cross-system navigation
• Delays in analyzing operational and production performance
• Limited ability to respond quickly to market pressures, including declining oil prices.

As a result, extracting timely, reliable insights became increasingly challenging, impacting both operational agility and strategic planning.

Tieto implemented a cloud-based analytics platfrm that integrates data from SCADA, drilling, fracking, weather, and enterprise systems into a single environment. The solution supports both structured and unstructured data, with dynamic schema adaptation for evolving sensor inputs.

Advanced analytics, including descriptive, diagnostic, and predictive models, enable:

• Real-time data processing
• Well yield forecasting
• Interactive visualization through customizable dashboards.

The solution enabled the client to move from fragmented data handling to real-time, insight-driven operations. With predictive analytics and a unified data foundation, the company gained greater control over production and improved decision-making across upstream activities.

Key outcomes include:

• More accurate well yield predictions
• Reduced production variability
• Lower operational costs and improved efficiency
• Faster access to insights and reporting
• Better portfolio and investment decisions.

This resulted in increased throughput, improved agility, and a more scalable foundation for future growth.